norm: Analysis of Multivariate Normal Datasets with Missing Values

An integrated set of functions for the analysis of multivariate normal datasets with missing values, including implementation of the EM algorithm, data augmentation, and multiple imputation.

Version: 1.0-11.1
Imports: stats
Published: 2023-06-18
DOI: 10.32614/CRAN.package.norm
Author: Ported to R by Alvaro A. Novo. Original by Joseph L. Schafer.
Maintainer: John Fox <jfox at>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: yes
In views: MissingData
CRAN checks: norm results


Reference manual: norm.pdf


Package source: norm_1.0-11.1.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): norm_1.0-11.1.tgz, r-oldrel (arm64): norm_1.0-11.1.tgz, r-release (x86_64): norm_1.0-11.1.tgz, r-oldrel (x86_64): norm_1.0-11.1.tgz
Old sources: norm archive

Reverse dependencies:

Reverse depends: imp4p, imputeLCMD
Reverse imports: Indicator, MCARtest, misaem, misty, mlmi, modi, MultiVarMI, naniar, psfmi, restriktor, rrcovNA, simputation
Reverse suggests: DAPAR, missMethods, miWQS, MsCoreUtils, MSnbase, QFeatures


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